Li Shen Loo

24 papers receiving 977 citations

Peers

Li Shen Loo
Comparison fields: 5 of 85
  • Cell Biology 428
  • Psychiatry and Mental health 185
  • Cellular and Molecular Neuroscience 159
  • Pathology and Forensic Medicine 157
  • Molecular Biology 483
Replace Vesna Ponjavic with:
Vesna Ponjavic Sweden
Selma A. Serra Spain
Raul Krauss United States
Papiya Choudhury United States
Zofia M. Lasiecka United States
Ola Sandgren Sweden
Uttio Roy Chowdhury United States
Clive Da Costa United Kingdom
Beate Schlotter‐Weigel Germany
Ian M. Williams United Kingdom
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Citations per field
00.5×3.9×
Vesna Ponjavic · 1×
Citations per year

Countries citing papers authored by Li Shen Loo

Since Specialization
Citations

This map shows the geographic impact of Li Shen Loo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li Shen Loo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Shen Loo more than expected).

Fields of papers citing papers by Li Shen Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Shen Loo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li Shen Loo. The network helps show where Li Shen Loo may publish in the future.

Co-authors

The 25 scholars most cited alongside Li Shen Loo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li Shen Loo Line = papers co-authored together Li Shen Loo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009216
2 2015126
3 201181
4 201480
5 200667
6 201044
7 201641
8 201940
9 202039
10 200935
11 202432
12 202030
13 201930
14 200229
15 200926
16 201924
17 201922
18 201714
19 20067
20 20224

About Li Shen Loo

Li Shen Loo is a scholar working on Molecular Biology, Psychiatry and Mental health, Cell Biology, Pathology and Forensic Medicine and Surgery, having authored 24 papers that have together received 993 indexed citations. Recurring topics across this work include Migraine and Headache Studies (8 papers), Trigeminal Neuralgia and Treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (4 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Diabetes Treatment and Management (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cell Biology (428 citations), Psychiatry and Mental health (185 citations), Cellular and Molecular Neuroscience (159 citations), Pathology and Forensic Medicine (157 citations) and Molecular Biology (483 citations). Li Shen Loo has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Wanjin Hong, Chun Jye Lim, Yaan Fun Chong, Siew Wee Chan, Caixia Huang, Yan Shan Ong, Gavin S. Dawe, Muthafar Al‐Haddawi, Brendon J. Hanson and John H. Krege. Their work appears in journals such as The Journal of Headache and Pain, Nature Communications, The Journal of Clinical Pharmacology, The Journal of Cell Biology and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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